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Diffstat (limited to 'src/cython/test/test_persistence_representations_landscapes_on_grid.py')
| -rwxr-xr-x | src/cython/test/test_persistence_representations_landscapes_on_grid.py | 120 |
1 files changed, 0 insertions, 120 deletions
diff --git a/src/cython/test/test_persistence_representations_landscapes_on_grid.py b/src/cython/test/test_persistence_representations_landscapes_on_grid.py deleted file mode 100755 index 7a1f2b49..00000000 --- a/src/cython/test/test_persistence_representations_landscapes_on_grid.py +++ /dev/null @@ -1,120 +0,0 @@ -import gudhi - -""" - This file is part of the Gudhi Library. The Gudhi library - (Geometric Understanding in Higher Dimensions) is a generic C++ - library for computational topology. - - Author(s): Pawel Dlotko - - Copyright (C) 2017 Swansea University - - This program is free software: you can redistribute it and/or modify - it under the terms of the GNU General Public License as published by - the Free Software Foundation, either version 3 of the License, or - (at your option) any later version. - - This program is distributed in the hope that it will be useful, - but WITHOUT ANY WARRANTY; without even the implied warranty of - MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the - GNU General Public License for more details. - - You should have received a copy of the GNU General Public License - along with this program. If not, see <http://www.gnu.org/licenses/>. -""" - -__author__ = "Pawel Dlotko" -__copyright__ = "Copyright (C) 2017 Swansea University" -__license__ = "GPL v3" - -epsilon = 0.0000005; - - - -def test_check_construction_of_landscape: - l = gudhi.PersistenceLandscapeOnGrid("data/file_with_diagram_1", 100,sys.maxsize) - l.print_to_file("landscape_from_file_with_diagram_1") - g = gudhi.PersistenceLandscapeOnGrid() - g.load_landscape_from_file("landscape_from_file_with_diagram_1") - assert l == g - - -def test_check_construction_of_landscape_using_only_ten_levels: - number = 10 - l = gudhi.PersistenceLandscapeOnGrid("data/file_with_diagram_1", 100, number) - g = gudhi.PersistenceLandscapeOnGrid("data/file_with_diagram_1", 100, sys.maxsize) - for level in range(0,number): - v1 = l.vectorize(level) - v2 = g.vectorize(level) - assert v1 == v2 - -def test_check_computations_of_integrals: - p = gudhi.PersistenceLandscapeOnGrid("data/file_with_diagram_1", 100, sys.maxsize) - integral = p.compute_integral_of_landscape() - assert fabs(integral - 27.343) <= 0.00005 - -def test_check_computations_of_integrals_for_each_level_separatelly: - p = gudhi.PersistenceLandscapeOnGrid("data/file_with_diagram_1", 100, sys.maxsize) - integrals_fir_different_levels = [0.241168,0.239276,0.237882,0.235193,0.230115,0.227626,0.226132.0.223643,0.221651,0.220556,0.21727,0.215976,0.213685,0.211993,0.2102,0.208707,0.207014,0.205122,0.204226,0.202633] - for level in range(0,len(integrals_fir_different_levels)) - integral = p.compute_integral_of_landscape(level); - assert fabs(integral - integrals_fir_different_levels[level]) <= 0.00005 - -def test_check_computations_of_integrals_of_powers_of_landscape: - p = gudhi.PersistenceLandscapeOnGrid("data/file_with_diagram_1", 100, sys.maxsize) - integrals_fir_different_powers = [0.241168,0.239276,0.237882,0.235193,0.23011] - for power in range(0:5): - integral = p.compute_integral_of_landscape(power) - assert fabs(integral - integrals_fir_different_powers[power]) <= 0.00001 - -def test_check_computations_of_values_on_different_points: - p = gudhi.PersistenceLandscapeOnGrid("data/file_with_diagram_1", 100, sys.maxsize) - results_level_0 = [0.00997867,0.0521921,0.104312,0.156432,0.208552,0.260672,0.312792,0.364912,0.417032,0.429237] - results_level_10 = [7.21433e-05,0.0422135,0.0943335,0.146453,0.198573,0.240715,0.272877,0.324997,0.359232,0.379344] - double x = 0.0012321; - double dx = 0.05212; - for i in range(0,10): - assert almost_equal(p.compute_value_at_a_given_point(0, x), results_level_0[i])); - assert almost_equal(p.compute_value_at_a_given_point(10, x), results_level_10[i])); - x += dx; - -def test_check_computations_of_maxima_and_norms: - p = gudhi.PersistenceLandscapeOnGrid("data/file_with_diagram_1", 0., 1., 100) - second = gudhi.PersistenceLandscapeOnGrid("data/file_with_diagram_2", 0., 1., 100) - assert fabs(p.compute_maximum() - 0.46) <= 0.00001 - assert fabs(p.compute_norm_of_landscape(1) - 27.3373) <= 0.00001 - assert fabs(p.compute_norm_of_landscape(2) - 1.84143) <= 0.00001 - assert fabs(p.compute_norm_of_landscape(3) - 0.927067) <= 0.00001 - -def test_check_default_parameters_of_distances: - diag = read_persistence_intervals_in_dimension("data/file_with_diagram") - p = gudhi.PersistenceLandscapeOnGrid(diag, 0., 1., 100) - diag1 = read_persistence_intervals_in_dimension("data/file_with_diagram_1") - q = gudhi.PersistenceLandscapeOnGrid(diag1, 0., 1., 100) - dist_numeric_limit_max = p.distance(q, sys.maxsize); - dist_infinity = p.distance(q, sys.maxsize); - assert dist_numeric_limit_max == dist_infinity - -def test_check_computations_of_averages: - p = gudhi.PersistenceLandscapeOnGrid("data/file_with_diagram", 0., 1., 100) - q = gudhi.PersistenceLandscapeOnGrid("data/file_with_diagram_1", 0., 1., 100) - av = gudhi.PersistenceLandscapeOnGrid() - av.compute_average({&p, &q) - - template_average = gudhi.PersistenceLandscapeOnGrid() - template_average.load_landscape_from_file("data/average_on_a_grid") - assert template_average == av - - -def test_check_computations_of_distances: - p = gudhi.PersistenceLandscapeOnGrid("data/file_with_diagram", 0., 1., 10000) - q = gudhi.PersistenceLandscapeOnGrid("data/file_with_diagram_1", 0., 1., 10000) - assert fabs(p.distance(q) - 25.5779) <= 0.00005 - assert fabs(p.distance(q, 2) - 2.04891) <= 0.00001 - assert fabs(p.distance(q, sys.maxsize) - 0.359) <= 0.00001 - - -def test_check_computations_of_scalar_product: - p = gudhi.PersistenceLandscapeOnGrid("data/file_with_diagram", 0., 1., 10000) - q = gudhi.PersistenceLandscapeOnGrid("data/file_with_diagram_1", 0., 1., 10000) - assert almost_equal(p.compute_scalar_product(q), 0.754367) |